语义网PORTAL-DOORS项目中的DREAM原则和FAIR指标

A. Craig, Adarsh Ambati, Shiladitya Dutta, Pooja Kowshik, Sathvik Nori, S. K. Taswell, Qiyuan Wu, C. Taswell
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引用次数: 8

摘要

Wilkinson等人在Scientific Data上发表的文章主张采用可查找、可访问、可互操作和可重用(FAIR)的数据管理原则,但没有引用Taswell先前发表的任何工作。然而,这些原则最初是由Taswell在2006年提出并描述的,作为PORTAL-DOORS项目(PDP)和Nexus-PORTAL-DOORS-Scribe (NPDS)网络基础设施工作的基础,并已在众多会议演讲、期刊文章和专利中发表。这项关于PDP和NPDS的工作自2007年以来一直可以从一个可公开访问的网站www.portaldoors.org上获得,并在会议上与Wilkinson等人论文的几位主要作者亲自讨论。在不引用PDP和NPDS原则的情况下,将它们重新命名为FAIR原则,这引发了对Wilkinson等人论文作者的“公平性”和公平性的质疑。通过使用术语“度量”来促进这些原则,而术语“度量”并不是大多数科学领域中使用的术语“度量”的定义,这也引发了关于他们在不同科学领域中保持基本术语使用一致性的承诺的问题,这应该是语义网知识工程的本体映射术语所期望的。因此,在本报告中,我们通过确定构成其公平原则历史先例的我们的PDP和NPDS原则来澄清其公平原则的起源。此外,作为我们所有PDP和NPDS原则的综合总结短语,我们将它们重命名为DREAM原则,其首字母缩写为DREAM,即具有可访问属性和可管理元数据的等效实体具有可重复结果的可发现数据。最后,我们定义了数字有效的定量公平指标,从最重要的原则(即公平承认信息记录和公平归因索引报告)的角度来监测和衡量DREAM原则,以维持学术研究和出版中引用的公平标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DREAM Principles and FAIR Metrics from the PORTAL-DOORS Project for the Semantic Web
Articles published in Scientific Data by Wilkinson et al. argued for the adoption of the Findable, Accessible, Interoperable, and Reusable (FAIR) principles of data management without citing any of the prior work published by Taswell. However, these principles were first proposed and described by Taswell in 2006 as the foundation for work on the PORTAL-DOORS Project (PDP) and the Nexus-PORTAL-DOORS-Scribe (NPDS) cyberinfrastructure, and have been published in numerous conference presentations, journal articles, and patents. This work on PDP and NPDS has been continuously available since 2007 from a publicly accessible web site at www.portaldoors.org, and discussed in person at conferences with several key authors of the Wilkinson et al. papers. Paraphrasing without citing the PDP and NPDS principles while renaming them as the FAIR principles raises questions about both the ‘FAIRness’ and the fairness of the authors of the Wilkinson et al. papers. Promoting these principles with the use of the term ‘metrics’, which are not metrics by definition of the term metric as used in most fields of science, also raises questions about their commitment to maintaining consistency of usage for basic terminology across different fields of science as should be expected for terms in ontology mapping with knowledge engineering for the semantic web. Therefore, in the present report, we clarify the origin of their FAIR principles by identifying our PDP and NPDS principles that constitute the historical precedent for their FAIR principles. Moreover, as the comprehensively summarizing phrase for all of our PDP and NPDS principles, we rename them the DREAM principles with the acronym DREAM for Discoverable Data with Reproducible Results for Equivalent Entities with Accessible Attributes and Manageable Metadata. Finally, we define numerically valid quantitative FAIR metrics to monitor and measure the DREAM principles from the perspective of the most important principle, ie, the Fair Acknowledgment of Information Records and Fair Attribution to Indexed Reports, for maintaining fair standards of citation in scholarly research and publishing.
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